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bademiya21

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This repo describes a supervised approach to text classification using different features and classifiers. This, obviously, is good to use if there is labelled data available.

Topic-Modeling-with-Automated-Determination-of-the-Number-of-Topics

My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics

Discriminative-Robust-Local-Binary-and-Ternary-Patterns

Contains the codes for Discriminative and Robust Local Binary Pattern and Discriminative and Robust Local Ternary Pattern for object recognition developed by me during my PhD studies.

MATLAB

Knapsack-solution-for-Resource-Allocation

A solution for resource allocation based on limited constraints

Extended-Histogram-of-Gradients

Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.

C++

Identifying-Commuter-Travel-Patterns-In-Bus-Services

A project I did with Land Transport Authority, a statutory board, whose main role is to manage the transportation infra of Singapore which includes public transport like bus and trains. The agency was interested to understand how the bus services were being utilized by commuters during peak hours and if interventions could be introduced to further enhance commuter experience on bus services e.g. shorter waiting time, faster trips with skipping of bus stops etc. This required understanding archetypes of travel patterns by commuters in bus services. This project is an extension of what was previously done here: https://blog.data.gov.sg/fingerprint-of-a-bus-route-73e5be53dcf0

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bademiya21/Supervised-Classification-of-Text-Categories

bademiya21

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